Local large language model‐assisted literature mining for on‐surface reactions by Juan Xiang, Yizhang Li, Xinyi Zhang, Yu He, Qiang Sun

“…By combining prompt engineering and multi‐step text preprocessing, we show that the local LLM can effectively extract scientific information, achieving a recall rate of 91% and a precision rate of 70%. …”
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Development of a Drought Monitoring System for Winter Wheat in the Huang-Huai-Hai Region, China, Utilizing a Machine Learning–Physical Process Hybrid Model by Qianchuan Mi, Zhiguo Huo, Meixuan Li, Lei Zhang, Rui Kong, Fengyin Zhang, Yi Wang, Yuxin Huo

“…These efforts signify a notable application of multi-source data fusion techniques and the integration of physical process models within a big data context, thereby facilitating effective drought prevention, agricultural management, and mitigation strategies.…”
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Comprehensive Assessment of Indoor Thermal in Vernacular Building Using Machine Learning Model with GAN-Based Data Imputation: A Case of Aceh Region, Indonesia by Muslimsyah Muslimsyah, Safwan Safwan, Andri Novandri

“…These results validate the combined use of ANN-SVR for prediction and GAN for preprocessing as a powerful strategy to enhance data quality and model performance. …”
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Prediction of Metastasis in Paragangliomas and Pheochromocytomas Using Machine Learning Models: Explainability Challenges by Carmen García-Barceló, David Gil, David Tomás, David Bernabeu

“…Our methodology involves a comprehensive preprocessing phase to prepare the data, followed by the application of classification algorithms. …”
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Defining acceptable data collection and reuse standards for queer artificial intelligence research in mental health: protocol for the online PARQAIR-MH Delphi study by Julia Hamer-Hunt, Dan W Joyce, Andrey Kormilitzin, Nenad Tomasev, Kevin R McKee

“…In stage 1, a review of recent literature and fact-finding consultation with stakeholder organisations will be conducted to define a terms-of-reference for stage 2, the Delphi process. Our Delphi process consists of three rounds, where the first two rounds will iterate and identify items to be included in the final Delphi survey for consensus ratings. …”
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Software Methodology for Data Control and Collection for Autonomous Monitoring Systems with a Large Amount of Generated Information on the Example of Software for a Hydrological Ra... by I. S. Serdiukov, V. I. Veremyev, Van Tuan Nguyen

“…Such factors, as the increasing sampling rate of ADCs and the increasing speed of systems for primary processing, receiving, and transmitting information, etc., make the systems operate almost at the bandwidth limit of data transmission interfaces. …”
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TSMixer- and Transfer Learning-Based Highly Reliable Prediction with Short-Term Time Series Data in Small-Scale Solar Power Generation Systems by Younjeong Lee, Jongpil Jeong

“…We present a transfer learning-based prediction system design that can maintain high prediction performance even in data-poor environments. In the process of developing a prediction model suitable for the target domain by utilizing multi-source data, we propose a data similarity evaluation method using DTW, which demonstrates excellent performance with low error rates in the MSE and MAE metrics compared with conventional long short-term memory (LSTM) and Transformer models. …”
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A Wind Turbines Dataset for South Africa: OpenStreetMap Data, Deep Learning Based Geo-Coordinate Correction and Capacity Analysis by Maximilian Kleebauer, Stefan Karamanski, Doron Callies, Martin Braun

“…Accurate and detailed spatial data on wind energy infrastructure is essential for renewable energy planning, grid integration, and system analysis. …”
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Promoting data-driven decision-making in Jordan: strengthening national health information system and achieving consensus on core set of health system indicators by Fadi El-Jardali, Racha Fadlallah, Raeda Abu AlRub, Diana Jamal, Najla Daher

“…In Jordan, the national HIS, overseen by the Ministry of Health, faces challenges related to overlapping data collection, data availability gaps, and operational inefficiencies which compromise effective decision-making. …”
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Completude e consistência dos dados de gestantes HIV positivas notificadas [Completeness and consistency of data on notified HIV-positive pregnant women] by Diego Jorge Maia Lima, Ana Carolina Maria Araújo Chagas, Igor Cordeiro Mendes, Mônica Oliveira Batista Oriá, Priscila de Souza Aquino, Ana Karina Bezerra Pinheiro

“…There is a need for discussion on the theme of information system databases during health professionals’ training process, so as to contribute to reducing incomplete and inconsistent data. …”
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STUDI TENTANG MOTIVASI BELAJAR SISWA PADA PENGGUNAAN MEDIA MOBILE GAME BASE LEARNING DALAM PEMBELAJARAN LAJU REAKSI KIMIA by Ucu Cahyana, Mario Paristiowati, Muhammad Fajar Nurhadi, Siti Nuryana Hasyrin

“… This study aims to analysis developing of students' learning motivation in the learning process of chemical reaction rate by using mobile game base learning media (mobile game base learning). …”
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Kinetic Model of Chemical Organic Matter Removal in Facultative Pond Set A in Domestic Wastewater Treatment Plant (WWTP) Bojongsoang, West Java by Fanny Novia, Erika Herliana, Jeni Saepurohman

“…The best kinetic model will provide a more accurate predictions of COD effluent concentrations in facultative ponds. Data series of COD influent and effluent concentration were collected from field data of water quality monitoring monthly from years 2019 to 2022. …”
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Design and Research of MVB Adapters Based on UART Emulation Technology by WANG Fengchao, LIU Tai, ZHAO Dongyu

“…A technical scheme had been put forward, the MVB adapter achieved capabilities of process data, message data and user programmability by using UART Emulation technology in the structure of the host system and MVB controller. …”
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Large Language Models can extract morphological data from taxonomic descriptions, but their stochastic nature makes automation challenging: a test on Australian Asteraceae by Alexander N. Schmidt-Lebuhn, Nunzio Knerr

“…The missing data rate is 51.1%. Visual checking of 109 profiles revealed an error rate of 5.8%, a majority of them misapplication of data to the wrong trait based on confusion between different kinds of bracts and between individual involucral bracts and the involucre as a whole. …”
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Audit-based corrective and preventive actions to reduce wastage of blood components at a single blood center: A quality improvement study by John Gnanaraj, Rajendra Kulkarni, Dibyajyoti Sahoo, Abhishekh Basavarajegowda

“…INTRODUCTION: The rate of discarded blood components or “wastage rate” reflects on the whole process, preparation, and production of blood and its quality control. …”
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Evaluation of the Feasibility of Transfusing Leukocyte Depletion Filter–Processed Intraoperative Cell Salvage Blood in Metastatic Spine Tumor Surgery: Protocol for a Non–Randomized... by Naresh Kumar, Si Jian Hui, Renick Lee, Sahil Athia, Joel Yong Hao Tan, Jonathan Jiong Hao Tan

“…As of September 2019, we have collected operative data on 140 patients. However, the 2-year outcomes of about 40.0% (56/140) of patients are in the process of collection. …”
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Application of porous materials in heat exchangers of heat supply system by N. V. Rydalina, B. G. Aksenov, O. A. Stepanov, E. O. Antonova

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Ranking the methods to improve asset-liability management in commercial banks of Iran using the hybrid MCDM approach (case study: Tehran branches of Sepah Bank) by Seyed Fakhreddin Fakhrhosseini, Meysam Kaviani

“…In addition, the results could be used in the planning process of banks and financial institutions.…”
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Optimizing the commercial manufacturing of tisagenlecleucel for patients in Japan: A 4-year experiential journey by Fumiko Iwamoto, David Fong, Margarida Rodrigues, Yoshie Tsurumaki

“…The MSR (87.9 % versus 94.6 %), SSR (93.0 % versus 97.5 %), termination (6.0 % versus 1.9 %), overall OOS rates (6.1 % versus 3.5 %), and viability OOS (2.8 % versus 0.2 %) have improved significantly since the implementation of manufacturing process improvements in 2022. …”
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POD-Based Machine Learning Approach for Coupled EM-Thermal Analysis in Microwave Heating by Jeong-Wan Lee, Gyu-Sik Choi, Sung-Jun Yang

“…The method employs proper orthogonal decomposition (POD) to extract dominant spatial and temporal modes from simulation data, thereby reducing the parametric complexity even when training data are limited. …”
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